✅ TICKET-006: Wake-word Detection Service - Implemented wake-word detection using openWakeWord - HTTP/WebSocket server on port 8002 - Real-time detection with configurable threshold - Event emission for ASR integration - Location: home-voice-agent/wake-word/ ✅ TICKET-010: ASR Service - Implemented ASR using faster-whisper - HTTP endpoint for file transcription - WebSocket endpoint for streaming transcription - Support for multiple audio formats - Auto language detection - GPU acceleration support - Location: home-voice-agent/asr/ ✅ TICKET-014: TTS Service - Implemented TTS using Piper - HTTP endpoint for text-to-speech synthesis - Low-latency processing (< 500ms) - Multiple voice support - WAV audio output - Location: home-voice-agent/tts/ ✅ TICKET-047: Updated Hardware Purchases - Marked Pi5 kit, SSD, microphone, and speakers as purchased - Updated progress log with purchase status 📚 Documentation: - Added VOICE_SERVICES_README.md with complete testing guide - Each service includes README.md with usage instructions - All services ready for Pi5 deployment 🧪 Testing: - Created test files for each service - All imports validated - FastAPI apps created successfully - Code passes syntax validation 🚀 Ready for: - Pi5 deployment - End-to-end voice flow testing - Integration with MCP server Files Added: - wake-word/detector.py - wake-word/server.py - wake-word/requirements.txt - wake-word/README.md - wake-word/test_detector.py - asr/service.py - asr/server.py - asr/requirements.txt - asr/README.md - asr/test_service.py - tts/service.py - tts/server.py - tts/requirements.txt - tts/README.md - tts/test_service.py - VOICE_SERVICES_README.md Files Modified: - tickets/done/TICKET-047_hardware-purchases.md Files Moved: - tickets/backlog/TICKET-006_prototype-wake-word-node.md → tickets/done/ - tickets/backlog/TICKET-010_streaming-asr-service.md → tickets/done/ - tickets/backlog/TICKET-014_tts-service.md → tickets/done/
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Web Dashboard Design
Design document for the Atlas web LAN dashboard.
Overview
A simple, local web interface for monitoring and managing the Atlas voice agent system. Accessible only on the local network.
Goals
- Monitor System: View conversations, tasks, reminders
- Admin Control: Pause/resume agents, kill services
- Log Viewing: Search and view system logs
- Privacy: Local-only, no external access
Pages/Sections
1. Dashboard Home
- System status overview
- Active conversations count
- Pending tasks count
- Active timers/reminders
- Recent activity
2. Conversations
- List of recent conversations
- Search/filter by date, agent type
- View conversation details
- Delete conversations
3. Tasks Board
- Read-only Kanban view
- Filter by status
- View task details
4. Timers & Reminders
- List active timers
- List upcoming reminders
- Cancel timers
5. Logs
- Search logs by date, agent, tool
- Filter by log level
- Export logs
6. Admin Panel
- Agent status (family/work)
- Pause/Resume buttons
- Kill switches:
- Family agent
- Work agent
- MCP server
- Specific tools
- Access revocation:
- List active sessions
- Revoke sessions/tokens
API Design
Base URL
http://localhost:8000/api (or configurable)
Endpoints
Conversations
GET /conversations - List conversations
GET /conversations/:id - Get conversation
DELETE /conversations/:id - Delete conversation
Tasks
GET /tasks - List tasks
GET /tasks/:id - Get task details
Timers
GET /timers - List active timers
POST /timers/:id/cancel - Cancel timer
Logs
GET /logs - Search logs
GET /logs/export - Export logs
Admin
GET /admin/status - System status
POST /admin/agents/:type/pause - Pause agent
POST /admin/agents/:type/resume - Resume agent
POST /admin/services/:name/kill - Kill service
GET /admin/sessions - List sessions
POST /admin/sessions/:id/revoke - Revoke session
Security
- Local Network Only: Bind to localhost or LAN IP
- No Authentication: Trust local network (can add later)
- Read-Only by Default: Most operations are read-only
- Admin Actions: Require explicit confirmation
Implementation Plan
Phase 1: Basic UI
- HTML structure
- CSS styling
- Basic JavaScript
- Static data display
Phase 2: API Integration
- Connect to MCP server APIs
- Real data display
- Basic interactions
Phase 3: Admin Features
- Admin panel
- Kill switches
- Log viewing
Phase 4: Real-time Updates
- WebSocket integration
- Live updates
- Notifications
Technology Choices
- Simple: Vanilla HTML/CSS/JS for simplicity
- Or: Lightweight framework (Vue.js, React) if needed
- Backend: Extend MCP server with dashboard endpoints
- Styling: Simple, clean, functional
Future Enhancements
- Voice interaction (when TTS/ASR ready)
- Mobile app version
- Advanced analytics
- Customizable dashboards